The neural network used is feedforward, has fully connected layers, and is written with the Python deep learning library, Keras [1]}. Keras is a set of high-level building blocks that implement the deep learning model, and it interfaces with a backend, which handles operations such as tensor products and convolutions. The backends used in this work are Theano [2]} for running on CPU and Tensorflow [3]} for running on GPU. The model used for reconstructing the Higgs boson mass from the di-\(\tau \)  system is shown in Table REF .
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